Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
-
Updated
Dec 25, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
PyTorch implementation of AnimeGANv2
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
TensorFlow (Python API) implementation of Neural Style
Learning Chinese Character style with conditional GAN
[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Paper List for Style Transfer in Text
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
Fast Example-based Image Synthesis and Style Transfer
Suite of gimp plugins for texture synthesis
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
Arbitrary style transfer using TensorFlow.js
Add a description, image, and links to the style-transfer topic page so that developers can more easily learn about it.
To associate your repository with the style-transfer topic, visit your repo's landing page and select "manage topics."